Bit Test and Reset vs. Compilers
0x80.pl
0x80.pl
I wonder how using that would compare?
You'd find the leftmost bit, invoke the func_true for that, and clear the leftmost bit.
Then loop finding the leftmost bit, invoking the func_false for the bits between the current leftmost bit and the previous leftmost bit, func_true for the leftmost bit, and then clear that bit.
I wouldn't expect it to be dramatically different, but it is trading test and clear on the off bits and a conditional branch off of the result for a loop calling func_false a predetermined number of times. One of those options might be a little faster than the other.
[1] https://en.wikipedia.org/wiki/Find_first_set#Hardware_suppor...
[2] https://en.wikipedia.org/wiki/Find_first_set#Tool_and_librar...
What I was suggesting was something like this (in pseudocode):
int previous_leftmost = 64;
while (mask != 0) {
leftmost = find_leftmost(mask);
mask ^= 1u << leftmost;
while (--previous_leftmost > leftmost)
func_false(previous_leftmost);
func_true(leftmost);
}But, OK.
(It is probably important, here, to call more attention to the fact that shifting a signed value left until its sign changes would be Undefined Behavior, making your optimizer likely to do something crazy. That is why the code sample must cast a shifted uint64_t to an int64_t before comparing to zero; that conversion is well-defined. Reader be advised!)
In the final, indexing, example, the code the compiler generates is to shift the word right 63 places, instead of checking the sign, to make the array index. You might as well do that in the source code, instead of coding a check of the sign bit that the compiler will convert to what you really meant anyway.
The final trick of indexing an array to get the right function to call is a good one, and could be a lot faster if the bit patterns are close to random. Branch predictors are very good at teasing out patterns, but the penalty for guessing wrong is very high. A possibly better way, particularly on clang, would look more like
(mask >> 63 ? func_true : func_false)(i);
Modern chips have a "cmov" instruction that is likely to be better than indexing into an array, with its a three-cycle trip out to L1 cache: on a modern chip, that is enough time to execute 18 other instructions!In the loop, there is no point in comparing i to zero, because you are going to break out when the mask hits zero anyway. So, that is just wasted code; deleting it would eliminate the useless "dec %ebp; js 108" instructions. That branch is reliably predicted, so mostly just costs cache footprint, not cycles. But the micro-operations cache is very small, and if the extra instructions make you blow your micro-op cache, that could be pretty expensive.
Finally, and most important: the number of instructions is an extremely poor way to estimate performance. Often, many instructions take less time to run than a few, different instructions. So, to make a smart choice about performance, or to present actually meaningful results in your blog post, you need to set up a micro-benchmark and actually see what really happens, and not just guess by counting lines. There are extremely good micro-benchmark tools available free online. Google's is as good as any. Or you could paste the code into Godbolt.org and benchmark it there.
So, in the end, this might be best:
void loop_v4(uint64_t mask) {
for (int i=63; mask; mask <<= 1, --i)
(mask >> 63 ? func_true : func_false)(i);
}
or possibly (mask & ~(-1ull>>1) ? func_true : func_false)(i);
or ((int64_t)mask < 0 ? func_true : func_false)(i);
But again, you need to measure (which I didn't do either). Results might be very, very different between x86 and ARM. Of course the results will depend on what happens in func_true and in func_false, too. And, you might find this is altogether the wrong place spend your optimizing attention.Running under Google Benchmark, I get:
$ g++ -O2 b.cc -L benchmark/build/src -lbenchmark \
> -I benchmark/include -lpthread -o b -march=skylake bf.o
$ ./b
...
-----------------------------------------------------
Benchmark Time CPU Iterations
-----------------------------------------------------
v1 244 ns 244 ns 2640782
v1a 245 ns 245 ns 2861829
v2 251 ns 251 ns 2761882
v2a 250 ns 250 ns 2775107
v3 264 ns 264 ns 2634478
v3a 263 ns 263 ns 2646271
v4 246 ns 246 ns 2812437
v4a 231 ns 231 ns 3042318
The "a" versions are without the redundant check for (i >= 0). They are mostly the same, here, except v4a. The func_false and func_true functions are linked in from bf.o. $ clang++-11 -O2 b.cc -L benchmark/build/src -lbenchmark \
> -I benchmark/include -lpthread -o b -march=skylake bf.o
$ ./b
...
v1 282 ns 282 ns 2314149
v1a 282 ns 282 ns 2496325
v2 239 ns 239 ns 2939233
v2a 253 ns 253 ns 2767869
v3 277 ns 277 ns 2525156
v3a 242 ns 242 ns 2874514
v4 254 ns 254 ns 2753859
v4a 222 ns 222 ns 3157533
Interesting here is that Clang ends up with the best time, after starting off way behind. (The v2/v2a thing is some kind of testing artifact.)Benchmarking almost always produces surprising results. It could be just good luck that mine came out fastest.